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Machine learning enhances brain-machine interface performance
Medical Xpress December 6, 2024
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals associated with a particular thought and converts them into control signals that are fed into a computer or a robotic limb. For example, a quadriplegic person is asked to think about moving a cursor on a computer screen.
Once the BMI is trained to recognize the neurological activity as this intent, the person’s thought is transmitted via the BMI to carry out the action of moving the cursor. BMIs currently in an experimental phase may also consist of robotic limbs that can execute manual tasks as instructed by a disabled...
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